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First 497 results for ” S Romakkaniemi”

  1. Monthly, seasonal and annual temperature reconstructions for Central Europe derived from documentary evidence and instrumental records since AD 1500

    Monthly temperature series for Central Europe back to AD 1500 are developed from documentary inde...

    P Dobrovolny, A Moberg, R Brazdil, C Pfister, R Glaser, R Wilson, A van Engelen, D Limanowka, A Kiss, M Halickova, J Mackova, D Riemann, J Luterbacher, R Bohm | Status: accepted | Journal: Climatic Change | Year: 2009 | doi: DOI 10.1007/s10584-009-9724-x

    Publication

  2. The variability of European floods since AD1500

    R Glaser, D Riemann, J Schönbein, M Barriendos, R Brazdil, C Bertolin, D Camuffo, M Deutsch, P Dobrovolný, A van Engelen | Status: published | Journal: Climatic Change | Year: 2010 | doi: 10.1007/s10584-010-9816-7

    Publication

  3. Impact of Higher Spatial Atmospheric Resolution on Precipitation Extremes Over Land in Global Climate Models

    Finer grids in global climate models could lead to an improvement in the simulation of precipitat...

    M Bador, J Boe, L Terray, LV Alexander, A Baker, A Bellucci, RJ Haarsma, T Koenigk, MP Moine, K Lohmann, D Putrasahan, C Roberts, M Roberts, E Scoccimarro, R Schiemann | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2019JD032184

    Publication

  4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

    Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

    Publication

  5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

    Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

    Publication